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Embedded Machine Learning Engineer Jobs in Oklahoma

Google Professional Machine Learning Engineer * Databricks Machine Learning Professional - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of ...

AI Engineer

Tulsa, OK · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

AI Solutions Engineering Delivery Lead

Oklahoma City, OK

$95K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

AI Solutions Engineering Delivery Lead

Tulsa, OK

$93K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Strong hands‑on experience with Linux (Red Hat / RHEL or Embedded Linux preferred) -- including ... Any experience or coursework involving Machine Learning / LLMs / AI (especially locally-hosted ...

New

CTIO AI Engineering Manager

Oklahoma City, OK

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

CTIO AI Engineering Manager

Tulsa, OK · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Develop numerical optimization, forecasting, computer vision, machine learning, and anomaly ... Strong Python engineering skills, with familiarity in at least one of: optimization, forecasting ...

New

NGA AI Engineer Manager

Tulsa, OK

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Showing results 41-60

Embedded Machine Learning Engineer information

See Oklahoma salary details

$64.6K

$141.6K

$160.7K

How much do embedded machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for embedded machine learning engineer in Oklahoma is $141,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $159,700.00 per year, depending on experience, location, and employer.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Oklahoma?

For Embedded Machine Learning Engineer jobs in Oklahoma, the most frequently searched job titles are:

What cities in Oklahoma are hiring for Embedded Machine Learning Engineer jobs?

Cities in Oklahoma with the most Embedded Machine Learning Engineer job openings:

Infographic showing various Embedded Machine Learning Engineer job openings in Oklahoma as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $141,624 per year, or $68.1 per hour.

AI/ML SME with Security Clearance

CACI

Oklahoma City, OK • On-site

Other

Medical, Retirement, PTO

Re-posted 17 days ago


Job description

Job Title: AI/ML SME Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US * * * The Opportunity: CACI is seeking a skilled AI/ML Subject Matter Expert (SME) to support an enterprise User Experience Management (UXM) initiative focused on transforming IT telemetry into predictive operational intelligence. This role designs and implements machine learning models within the Data Integration Platform (DIP) to enable anomaly detection, root cause analysis, service health prediction, and automated decision support across Air Force digital environments. The SME will work closely with data engineers, analysts, platform architects, cybersecurity teams, and IT operators to operationalize AI-driven insights for proactive enterprise IT management. Responsibilities: * Design and deploy ML models for UXM use cases (anomaly detection, performance forecasting, experience scoring, root cause analysis)
* Develop feature engineering pipelines from logs, metrics, traces, and endpoint telemetry
* Integrate AI/ML capabilities into the Data Integration Platform (DIP) architecture and operational dashboards
* Build and validate MVP models supporting AoA outcomes and UXM operational readiness
* Implement MLOps pipelines (training, validation, deployment, monitoring)
* Collaborate with cybersecurity teams to ensure RMF-compliant model deployment
* Translate model outputs into actionable insights for IT operators and leadership
* Support dashboard specification, analytics requirements, and operational reporting
* DAF Client Collaboration: Proactively collaborate with the DAF to understand their software landscape, installation details, licensing requirements, and specific needs related to the assigned software publishers and products * Project Contribution: Actively participate in project meetings, providing updates on modeling progress, identifying potential challenges, and contributing to the overall success of the project Qualifications: Required: * Active Secret Clearance
* 15+ Years of relevant experience (Bachelor's Degree in applicable field may be substituted for 5 years of experience).
* Minimum 7 years' experience in data science, machine learning, or applied AI (with at least 3 years in operational or enterprise environments)
* Hands-on experience with:
* Python-based ML frameworks (TensorFlow, PyTorch, scikit-learn, or equivalent)
* Time-series analytics and anomaly detection
* ETL/ELT pipelines and enterprise data platforms
* SQL and large-scale datasets
* Experience deploying models into production environments
* Familiarity with observability, ITOM, or UXM telemetry sources
* Prioritization and Management: Ability to prioritize and manage collecting information and modeling multiple publishers and products, while adhering to deadlines and maintaining high-quality work Desired: * Prior DoD or federal IT program experience
* Experience with MLOps frameworks and CI/CD pipelines
* Knowledge of UXM, IT operations analytics, or digital experience monitoring
* Experience working in RMF-controlled environments
* Familiarity with Power BI, Tableau, or similar visualization tools
* Exposure to cloud or hybrid AI deployments
* Analytical and Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to identify and resolve complex issues * Communication and Interpersonal Skills: Excellent communication and interpersonal skills, with the ability to effectively interact with the DAF, internal teams, and external vendors Certifications (One or More Required): * CompTIA Security+ CE (DoD 8570/8140 compliant) Preferred Technical Certifications: * AWS Certified Machine Learning - Specialty
* Microsoft Azure AI Engineer Associate
* Google Professional Machine Learning Engineer
* Databricks Machine Learning Professional - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $94,600 - $208,000 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.